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Now accepting Q3 2025 engagements. Limited spots available for enterprise AI deployments.
Reserve your spotFull Visibility Into Your Enterprise AI Applications
Your AI applications are black boxes until you instrument them. Datadog LLM Observability gives you complete visibility into every model call, every token spent, and every anomaly — so you can operate AI with the same rigor as your traditional infrastructure.
Set Up AI ObservabilityTrace every inference call across OpenAI, Anthropic, Bedrock, and self-hosted models. Full context — prompt, response, tokens, latency.
Automatic baselines for token spend, latency, and error rates. Alert when any AI application deviates from its behavioral norms.
Know exactly which team, agent, or feature is spending your LLM budget. Set per-department quotas and automated shutoffs.
Evaluate output quality metrics at scale — faithfulness, relevance, and hallucination detection through automated evaluation pipelines.
Correlate LLM performance with traditional APM data. See how AI latency impacts end-user experience and business metrics.
Datadog LLM Observability is a purpose-built monitoring solution for AI applications. It traces every LLM inference call, monitors token consumption, measures latency, evaluates output quality, and alerts on anomalous patterns — giving you full visibility into your AI systems in production.
LLMOps is the operational practice of deploying, monitoring, and maintaining LLM-based applications in production. Without LLMOps, enterprises face runaway token costs, undetected prompt injection attacks, performance degradation, and hallucinations reaching end users.